分层异构网络信息交互效率优化仿真研究

发布时间：2018-03-02 20:11

本文选题：分层异构　切入点：网络信息　出处：《计算机仿真》2017年01期 　论文类型：期刊论文

【摘要】：对分层异构网络信息交互效率进行优化,可提高分层异构网络信息的处理效率。通过构建归一化函数建立分层异构网络信息选择博弈模型,定义最大化网络满意效用与最大化势能函数,才能对分层异构网络信息交互效率进行优化,但是传统方法通过先对不同的信息源进行定位,将空域和时域信息融合于分层异构网络信息交互中完成效率优化,但是不能准确构建归一化函数,无法通过建立信息选择博弈模型计算满意效用与最大化势能函数,降低了交互效率。提出基于博弈学习的分层异构网络信息交互效率优化方法。上述模型先将博弈理论引入到分层异构网络信息交互过程中,利用归一化函数表征不同微蜂窝之间的异构需求,将网络满意效用定义为全部的微蜂窝满意效用之和,构建异构信息选择博弈模型,定义最大化网络满意效用与最大化势能函数,并融合粒子群方法对分层异构网络信息交互效率进行优化。仿真结果表明,所提模型可准确计算网络最大化满意效用,建模精确度高,对分层异构网络中能效信息交互效率的提高具有指导意义。
[Abstract]:In order to improve the processing efficiency of layered heterogeneous network information, the information exchange efficiency of layered heterogeneous network is optimized, and the information selection game model of layered heterogeneous network is established by constructing normalization function. In order to optimize the information interaction efficiency of layered and heterogeneous networks by defining the maximum network satisfactory utility and maximum potential energy function, the traditional methods can locate different information sources first. The spatial domain and time domain information are fused to the layered heterogeneous network to achieve efficiency optimization, but the normalized function can not be constructed accurately, and the satisfactory utility and maximum potential energy function can not be calculated by establishing the information selection game model. The optimization method of information interaction efficiency of layered heterogeneous network based on game learning is proposed. Firstly, the game theory is introduced into the process of information interaction in layered heterogeneous network. The network satisfactory utility is defined as the sum of all microcellular satisfactory utility, and the heterogeneous information selection game model is constructed. The maximum network satisfactory utility and maximum potential energy function are defined, and the information interaction efficiency of layered heterogeneous network is optimized by combining particle swarm optimization method. The simulation results show that the proposed model can accurately calculate the maximum satisfactory utility of the network. The modeling accuracy is high, and it is of guiding significance to improve the efficiency of energy efficiency information interaction in hierarchical heterogeneous networks.
【作者单位】：聊城大学东昌学院;
【分类号】：TP393.0

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